Lecture 14 | Deep Reinforcement Learning

Lecture 14 | Deep Reinforcement Learning

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Stanford University School of Engineering • 62K views

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Math topics:
_Optimal_decisions_##Optimal decisions##_Markov_decision_process_##Markov decision process##_Bellman_equation_##Bellman equation##_Loss_function_##Loss function##_Dimensionless_numbers_##Dimensionless numbers##_Correlation_and_dependence_##Correlation and dependence##_Slope_##Slope##_Probability_##Probability##_Theory_of_probability_distributions_##Theory of probability distributions##_Expected_value_##Expected value##_Q-function_##Q-function##_Variance_##Variance
Other topics:
_Machine_learning_##Machine learning##_Deep_learning_##Deep learning##_Q-learning_##Q-learning##_Reinforcement_learning_##Reinforcement learning##_Value_(ethics)_##Value (ethics)##_Good_and_evil_##Good and evil##_Value_theory_##Value theory##_Value_(ethics)_##Value (ethics)
video-id: lvoHnicueoE channel_Stanford_University_School_of_Engineering_